Measuring the similarity of patterns is the key in pattern-based approaches in relation extraction. Most existing methods generally rely on inflexible pattern similarity measurements which often lead to low recall. In...
详细信息
Measuring the similarity of patterns is the key in pattern-based approaches in relation extraction. Most existing methods generally rely on inflexible pattern similarity measurements which often lead to low recall. In this work, a novel kernel-based model is proposed to address this problem. Depending on the pattern similarities produced by our bottom-up kernel, the most similar semantic shortest dependency patterns are selected to update seed patterns in each iteration of bootstrapping. To obtain insights of the reliability and applicability of our proposed method, we applied it to the task of English Slot Filling (ESF) in Knowledge Base Population (KBP) track at Text Analysis Conference (TAC). The experimental results validate our proposed method that importantly improves the recall which resulting in the improvement of F1 value. The effectiveness of the bottom-up kernel is also verified by further experimental results.
In view of the multi-view face detection problem under complex background, an improved face detection method based on multi-features boosting collaborative learning algorithm integrating local binary pattern (LBP) is ...
详细信息
In order to verify the network traffic decline because by node breakdown, this paper proposes a new type of prediction algorithm (Prediction algorithm based on Discrete-Queue for FARIMA model, PDF). At first, the math...
详细信息
Center nodes have a bigger load and burden with lots of routing in an Ad Hoc Network Model. Congestion of the nodes' packets has a great impact on network performance, especially in wireless networks. This paper p...
详细信息
Smoke is the most significant feature in the process of fire,so it's possible to rely on smoke detection to detect *** the smoke image segmentation is the most difficult and also indispensable step in the analysis...
详细信息
Smoke is the most significant feature in the process of fire,so it's possible to rely on smoke detection to detect *** the smoke image segmentation is the most difficult and also indispensable step in the analysis of smoke image *** order to improve its accuracy and effectively exclude the disturbances of non-smoke image,and lower the false alarm rate,it puts forward a kind of smoke image segmentation based on color *** uses K-means clustering in Lab color space and threshold segmentation in HSV color space,then merges the two ***,it uses the method of shen filter and regional mark to denoise,Experimental results on segmentation of smoke image show that the proposed method is able to segment smoke from the background.
A deep Neural Network model was trained to classify the facial expression in unconstrained images, which comprises nine layers, including input layer, convolutional layer, pooling layer, fully connected layers and out...
详细信息
Electric valve has been applied to various occasions and domains. In some adverse environments where such defects of traditional control system as low efficiency and poor safety have been exposed, optical encoder is a...
详细信息
Feature subset selection is an important approach to deal with high-dimensional data. But selecting the best subset of data is NP hard. So most of feature selection methods cannot handle high-dimensional data efficien...
详细信息
Feature subset selection is an important approach to deal with high-dimensional data. But selecting the best subset of data is NP hard. So most of feature selection methods cannot handle high-dimensional data efficiently, or they can only obtain local optimum instead of global optimum. In these cases, when the data consist of both labeled and unlabeled data, semi-supervised feature selection can make full use of data information. In this paper, we introduce a novel semi-supervised feature selection algorithm, which is a filter method based on Fisher-Markov selector, thus ours can achieve global optimum and computational efficiency under certain kernels.
For natural numbers n and k, where n > 2k, a generalized Petersen graph P(n,k) is obtained by letting its vertex set be {u1,u 2,..,un} ∪ {u1,v2..,u n} and its edge set be the union of vi v i+1,uivi,ViVi+k over 1 ...
详细信息
For natural numbers n and k, where n > 2k, a generalized Petersen graph P(n,k) is obtained by letting its vertex set be {u1,u 2,..,un} ∪ {u1,v2..,u n} and its edge set be the union of vi v i+1,uivi,ViVi+k over 1 ≤ i ≤ n, where subscripts are reduced modulo n. In this paper, an integer programming formulation for Roman domination is established, which is used to give upper bounds for the Roman domination numbers of the generalized Petersen graphs P(n,3) and P(n,4). Together with the dynamic algorithm, we determine the Roman domination number of the generalized Petersen graph P(n, 3) for n ≥ 5.
In view of the draw backs of mango grade identification in China, which still relies on photoelectric sorting and manual separation, this paper presents a processing method on the basis of the technology of computer v...
详细信息
In view of the draw backs of mango grade identification in China, which still relies on photoelectric sorting and manual separation, this paper presents a processing method on the basis of the technology of computer vision and digital image. Utilizing image processing technology, the researcher calculated the length of the long-short-axis, marked the location of it and calculated the 7 parameters, chroma, length, width and etc.,4 of which are chosen as the key characteristics of the BP input of network to build a network and identify the level of mango through analysis of the external characteristics of mango. The method is based on traditional characteristics detection, using boundary tracking algorithm and the length of the new long-short-axis detection algorithm. The result of experiment indicates that the calculating method and judging of the level of mango are precise and accurate, with an average recognition rate of 92%. Therefore, the method has a great practical value, which can be applied to other agricultural products classification.
暂无评论